REMINDER: the AutoML Conference is back! And this year, we are heading to New York City from September 8-11.
CALL FOR PAPERS
The main conference will feature two tracks: one focusing on methods advancing the state of the art and one focusing on applications, benchmarks, challenges, and datasets (ABCD) to drive the development of new methods.
Opportunities to submit other content (short papers, “breaking news” papers, journal papers, etc.) will be coming soon!
A non-exclusive list of topics is below.
Methods Track:
model selection (e.g., neural architecture search, ensembling)
configuration/tuning (e.g., via evolutionary algorithms, Bayesian optimization)
AutoML methodologies (e.g., reinforcement learning, meta-learning, in-context learning, warmstarting, portfolios, multi-objective optimization, constrained optimization)
pipeline automation (e.g., automated data wrangling, feature engineering, pipeline synthesis, and configuration)
automated procedures for diverse data (e.g., tabular, relational, multimodal, etc.)
ensuring quality of results in AutoML (e.g., fairness, interpretability, trustworthiness, sustainability, robustness, reproducibility)
supporting analysis and insight from automated systems
context/prompt optimization
dataset distillation / data selection / foundation datasets
AutoML for multi-objective optimization
Large language models
ABDC Track:
Applications: open-source AutoML software and applications in this category that help us bridge the gap between theory and practice
Benchmarks: submissions to further enhance the quality of benchmarking in AutoML
Challenges: design, visions, analyses, methods and best practices for future and past challenges
Datasets: new datasets, collections of datasets, or meta-datasets that open up new avenues of AutoML research
You can check the full Call For Papers here:
https://2025.automl.cc/call-for-papers/IMPORTANT DATES
Abstract submission: 19 March, 2025
Paper submission: 24 March, 2025
Author notification: 13 May, 2025
Conference: 8-11 September, 2025
CONFIRMED KEYNOTES
Manuela Veloso, JP Morgan Chase
Andrew Gordon Wilson, New York University
Kevin Leyton-Brown, University of British Columbia
Erin LeDell, Distributional
… and more to come!
PREVIOUS EDITION
Check out last year’s conference videos and proceedings!
videos:
https://www.youtube.com/@automl_conf/playlistsproceedings:
https://proceedings.mlr.press/v256/CONTACTS
https://2025.automl.cc/Follow us on social media!
https://www.linkedin.com/company/automl-conf/https://x.com/automl_confhttps://bsky.app/profile/automl-conf.bsky.socialOrganizing Committee
:: General Chair:
Roman Garnett, Washington University in St. Louis
:: PC chairs:
Leman Akoglu, Carnegie Mellon University
Carola Doerr, CNRS and Sorbonne University, FR
Jan van Rijn, Leiden University, NL
See you there?